A Progressive Algorithm for Cross-Language Information Retrieval Based on Dictionary Translation

摘要：

Query translation is the mainstream in cross-language information retrieval,but ambiguity must be resolved by methods based on dictionary translation.In this paper, we propose a progressive algorithm for disambiguation which is derived from another algorithm we propose called the max-sum model.The new algorithm take a strategy called weighted-average probability distribution to redistribute the probabilities.Moreover,the new algorithm can be computed in a more direct way by solving an equation system.All the resource our method requires is a bilingual dictionary and a monolingual corpus.Experiments show it outperforms four other methods.

关键词： Cross-language information retrieval Co-occurrence measures Max-sum model Weighted-average distribution

作者: Song An Yuan Song Nian Yu

作者单位: School of Computer Engineering and Science,Shanghai University,149 Yah Chang Road,Shanghai,200072,P.R.China

会议类型: 国际会议

会议名称: 4th Asia Information Retrieval Symposium(AIRS 2008)(第四届亚洲信息检索研讨会)

会议地点: 哈尔滨

会议语种:英文

页码: 246-255

在线出版日期: 2008-01-16（万方平台首次上网日期，不代表论文的发表时间）